Press release

Wolters Kluwer Accelerates Healthcare Data Mapping with Artificial Intelligence to Bridge Data Silos

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As the healthcare industry undergoes rampant merger and acquisition
(M&A) activity, health systems are faced with the challenge of rapidly
integrating data silos across hospitals to ensure continued quality of
care and avoid revenue disruptions. In Health, Wolters
Kluwer
is now harnessing AI to bridge data in electronic health
records (EHRs) and disparate systems, such as lab results, to improve
how organizations identify and report hospital acquired infections.

“Healthcare has reached a tipping point when it comes to actionable
data, but the language of healthcare remains largely unstandardized,
limiting what can be understood across platforms and the people who need
to act upon the information,” said Jean-Claude Saghbini, Chief
Technology Officer for Wolters Kluwer, Health. “AI is increasing
data-mapping capabilities exponentially, which enables the rapid
identification of findings that benefit decision-making. For example,
hospitals using our surveillance solutions for early detection and
intervention of hospital acquired infections (HAI) will benefit from
AI’s ability to map lab results faster and more accurately to reduce
risks and help keep patients safe.”

Real-world data challenges

Wolters Kluwer’s data science team worked with Health
Language®
to use AI and machine learning to enhance the process of
mapping lab results to fully standardized LOINC
codes (Logical Observation Identifiers Names and Codes), a common
challenge among hospitals and payers post-mergers or when aggregating
data from disparate EHRs or systems. Manually mapping lab results to
LOINC is error-prone and can take months to complete. AI reduced the
process considerably and enabled Wolters Kluwer’s Sentri7® customers to
accurately and quickly comply with reporting HAIs to the Centers for
Disease Control and Prevention and to state health departments.

Saghbini added, “AI creates tremendous business value in healthcare
helping to dramatically scale how healthcare organizations map troves of
fragmented, non-standardized data. With a record number of M&A deals
observed in 2018, the need for data science and mapping expertise to
enable timely onboarding and provide a big picture, population level
view of health system data in post-M&A organizations has only
intensified.”

Beyond increasing the speed and accuracy of how healthcare organizations
report HAIs, Wolters Kluwer is also applying AI to several other areas
supporting patient engagement and clinical effectiveness.

To learn more about Wolters Kluwer’s AI capabilities in healthcare and
how they are helping organizations across the country improve quality of
care and patient safety, visit http://healthclarity.wolterskluwer.com/connecting-the-dots-on-disease-with-ai.html.

About Wolters Kluwer

Wolters Kluwer N.V. (AEX: WKL) is a global provider of professional
information, software solutions, and services for physicians, nurses,
accountants, lawyers, tax specialists, and finance, audit, compliance,
and regulatory sectors.

The company provides expert solutions – a combination of deep domain
knowledge with specialized technology and services – that help
professionals navigate change, solve complex problems, and deliver
impact in their respective fields.

Headquartered in Alphen aan den Rijn, the Netherlands, Wolters Kluwer
holds market-leading positions in 40 countries globally, represents
customers across 180 countries and employs 18,600 people worldwide. In
2018, it reported annual revenues of €4.3 billion.

Wolters Kluwer provides trusted clinical technology and evidence-based
solutions that engage clinicians, patients, researchers and students
with advanced clinical decision support, learning and research and
clinical intelligence. For more information about our solutions, visit http://healthclarity.wolterskluwer.com and
follow us on LinkedIn and
Twitter @WKHealth.

For more information, visit www.wolterskluwer.com,
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